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arXiv 1202.6404cs.ITmath.IT
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低SNR时BICM的信号整形

Signal Shaping for BICM at Low SNR

Erik Agrell, Alex Alvarado

摘要:

研究了比特交织编码调制(BICM)系统在低信噪比(SNR)下的互信息,即BICM容量,在宽带领域。引入了一种新的依赖于比特概率的线性变换。这种变换被用来证明某些BICM系统与均匀和非均匀输入分布之间的渐近等价性。使用已知的结果BICM系统具有均匀的输入分布,我们完全表征的组合的输入字母表,输入分布,和二进制标记,实现香农限-1.59 dB。主要结论是BICM系统在低信噪比下达到香农限当且仅当它可以表示为超立方体的零均值线性投影,这与均匀输入分布的条件相同。因此,除了几何整形所提供的之外,概率整形没有提供额外的自由度来优化BICM系统的低SNR互信息。数值结果证实了这些分析结论,同时也表明,对于固定的输入字母表,BICM的概率成形可以改善低信噪比和中等信噪比范围内的互信息,优于任何具有均匀输入分布的编码调制系统。

英文摘要:

The mutual information of bit-interleaved coded modulation (BICM) systems, sometimes called the BICM capacity, is investigated at low signal-to-noise ratio (SNR), i.e., in the wideband regime. A new linear transform that depends on bits' probabilities is introduced. This transform is used to prove the asymptotical equivalence between certain BICM systems with uniform and nonuniform input distributions. Using known results for BICM systems with a uniform input distribution, we completely characterize the combinations of input alphabet, input distribution, and binary labeling that achieve the Shannon limit -1.59 dB. The main conclusion is that a BICM system achieves the Shannon limit at low SNR if and only if it can be represented as a zero-mean linear projection of a hypercube, which is the same condition as for uniform input distributions. Hence, probabilistic shaping offers no extra degrees of freedom to optimize the low-SNR mutual information of BICM systems, in addition to what is provided by geometrical shaping. These analytical conclusions are confirmed by numerical results, which also show that for a fixed input alphabet, probabilistic shaping of BICM can improve the mutual information in the low and medium SNR range over any coded modulation system with a uniform input distribution.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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